IPERION HS D6.3 Final report on innovation, exploitation and interoperability

This deliverable addresses the complex interactions of innovation, exploitation and interoperability in IPERION HS and their contributions to E-RIHS. It is based on work carried out in T6.1 (Innovation), T6.3 (Interoperability) and T6.4 (Exploitation) and draws heavily on the interim deliverables produced by those Tasks. The information was obtained by carrying out surveys, interviews, examination of previous publications and by the development of a data management plan. The work was carried out to support IPERION HS, but here we also examine the implications for E-RIHS ERIC. The main conclusion is that Heritage Science and E-RIHS exists within its own ecosystem, but to maximise its impact, it needs to engage with a wide range of other, related interests. This involves engaging with new user groups and collaborating with companies as well as recognising innovative training and outreach efforts, and ensuring that data is acquired and stored in a way that allows it to be shared with other users. As the visibility of Heritage Science increases, new user communities may arise, and significant government spending departments such as defence, healthcare, transport, and international development may start showing interest in Heritage Science. E-RIHS needs to be ready to respond to these changes, as well as to evolving international legislation and best practices in open data, open science, and intellectual property by updating policies frequently. Heritage Science needs to seek out new developments in other areas of science, technology, and industry that could have applications in Heritage Science. Similarly, the Heritage Science community needs to work with industry to exploit developments made in Heritage Science for maximum impact. The broad range of technologies, datatypes, and manufacturers found in Heritage Science makes open and FAIR data particularly challenging. E-RIHS can guide the Heritage Science community in developing a shared understanding of open data, which could contribute significantly to broader areas of science